mravanelli/pytorch-kaldi
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
This toolkit helps speech researchers and engineers develop cutting-edge automatic speech recognition (ASR) systems. You can input raw audio data or processed speech features to train sophisticated deep learning models. The output is a highly accurate speech recognition system capable of transcribing spoken language, designed for users with expertise in speech technology.
2,396 stars. No commits in the last 6 months.
Use this if you need to build or experiment with custom, state-of-the-art speech recognition models using your own datasets.
Not ideal if you're looking for a simple, off-the-shelf speech-to-text solution without deep technical involvement in model architecture and training.
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Python
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Mar 14, 2022
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